Machine Learning
SDs and Effect Sizes in Linear Mixed Models (LMMs)?
An in-depth exploration of standard deviations and effect sizes in Linear Mixed Models (LMMs), clarifying distinctions between descriptive and inferential statistics, and addressing challenges in analyzing clustered data with hierarchical dependencies.
